筛选
科学数据
统计数据
共检索到41条 ,权限内显示50条;
Elliptical Time-Density Model (Wall et al. 2014) African Elephant Dataset (Source-Save the Elephants)
- 负责人:
- University Of Konstanz
- 关键词:
- African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
- DOI:
- doi:10.5441/001/1.f321pf80/1
- 摘要:
- for an African elephant (Loxodonta africana) and compared the resulting UDs for regularly sampled, frequently recorded locations, as well as irregular random time int
Data from: Community-based wildlife management area supports similar mammal species richness and densities compared to a national park
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.w0vt4b8mf
- 摘要:
- hness and population densities of ten mammal species (African elephant, giraffe, buffalo, zebra, wildebeest, waterbuck, warthog, impala, Kirk’s dik-dik, and vervet monkey) al
Data from: The extinct, giant giraffid Sivatherium giganteum: skeletal reconstruction and body mass estimation
- 负责人:
- DOI:
- doi:10.5061/dryad.83367
- 摘要:
- skeletal reconstruction of this unusual mammal. Historical and contemporary accounts anecdotally state that Sivatherium rivalled the African elephant
internal conflicts in the data, with special reference to the positions of hedgehog, armadillo, and elephant
- 负责人:
- DOI:
- doi:10.5061/dryad.401
- 摘要:
- s plus rabbit, the old Glires hypothesis, is also feasible with stripped amino acid data, while rodent monophyly is also common. The elephant sequence allows
Data from: Demographic legacies of fire history in an African savanna
- 负责人:
- DOI:
- doi:10.5061/dryad.3v0p8
- 摘要:
- t likely related to elephant activity, with losses exceeding 40% in the 6-9 m height classes. Synthesis. Our findings indicate that fire history imparts
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps
- 负责人:
- University Of Konstanz
- 关键词:
- African buffalo African elephant African lion animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme
- DOI:
- doi:10.5441/001/1.hm5nk220/2
- 摘要:
- , as well as a framework for quantitatively classifying movement patterns. We aim to address this gap by determining the extent to which statistical signatures
Data from: Resource selection and landscape change reveal mechanisms suppressing population recovery for the world's most endangered antelope
- 负责人:
- Goheen, Jacob R.
- 关键词:
- elephant endangered species habitat loss megaherbivore declines predation risk reintroduction tree encroachment extinction refugee species
- DOI:
- doi:10.5061/dryad.p1v07
- 摘要:
- was associated with a 98% decline of hirola and elephant Loxodonta africana populations, a 74% decline in cattle Bos indicus, an increase in browsing livestock by 327
Genomic data of the Apple-Ring Acacia (Faidherbia albida<\/i>)
- 负责人:
- 关键词:
- Genomic Transcriptomic orphan crops food security whole-genome sequencing transcriptome root nodule symbiosis transcription factors
- DOI:
- doi:10.5524/101054
- 摘要:
- Faidherbia albida is an agriculturally, biologically, medicinally and economically important African orphan crop. It is a thorny tree growing
Data from: Suite of simple metrics reveals common movement syndromes across vertebrate taxa
- 负责人:
- University Of Konstanz
- 关键词:
- African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis
- DOI:
- doi:10.5441/001/1.hm5nk220
- 摘要:
- , as well as a framework for quantitatively classifying movement patterns. We aim to address this gap by determining the extent to which statistical signatures
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos
- 负责人:
- University Of Konstanz
- 关键词:
- African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis
- DOI:
- doi:10.5441/001/1.hm5nk220/1
- 摘要:
- , as well as a framework for quantitatively classifying movement patterns. We aim to address this gap by determining the extent to which statistical signatures